ROUGHNESS PARAMETERS ESTIMATION OF SEA SURFACE FROM SAR IMAGES

被引：0
|
作者：
Iervolino, Pasquale [1 ]
Guida, Raffaella [1 ]
Whittaker, Philip
机构：
[1] Univ Surrey, Surrey Space Ctr, Guildford GU2 5XH, Surrey, England
来源：
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年
关键词：
Synthetic Aperture Radar (SAR); scattering models; roughness parameters estimation; maritime surveillance; ship-detection; BACKSCATTERING;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Some knowledge of sea state and conditions is input in ship detection algorithms based on inversion of scattering models for Synthetic Aperture Radar (SAR) images. This paper shows a novel technique for the estimation of roughness parameters of the sea surface from SAR images. The estimation procedure is based on the minimization of the absolute error between the Radar Cross Section (RCS) of the sea surface measured on the SAR image and the expected RCS computed using the Kirchhoff approach within the Geometrical Optics (GO) solution. The technique is tested on three different TerraSAR-X images acquired in November 2012 over the Portsmouth harbour in the UK.
引用
收藏
页码：5013 / 5016
页数：4
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